非均衡路网下交通信号组合优化控制策略
|
摘要
在交通信号控制中,针对单一控制模型不能很好适应实时交通流变化的问题,提出一种交通信号组合优化控制的方法。根据交通流参数,采用自组织特征映射神经网络(SOM)对交叉口交通状态进行识别,依据路口交通状态,动态选择合适的模糊控制器结构。针对非均衡路网的特点,设计了多级模糊控制器,通过搭接车流使交叉口通行能力最大化。针对多级模糊控制器不具备学习能力的问题,采用混沌遗传算法在线优化模糊控制器参数。以兰州市为例,通过仿真研究,给出了不同控制方法下车辆随时间的平均延误曲线,分析了不同交通流下的平均延误。结果表明所提方法具有较好控制效果。
In traffic signal control,a single control model generally cannot well adapt to the changes of real-time traffic flow.To handle this problem,a combined optimal control method of traffic signals is proposed.According to traffic flow parameters,the self-organizing feature map(SOM) neural network is applied to recognize the traffic state.Then the proper structure of the fuzzy controller is selected dynamically based on the intersection state.A multi-stage fuzzy controller with phase sequence optimization is designed for the characteristics of the non balanced road network.The lap traffic flow is adopted to maximize the capacity of signalized intersection.Parameters of the multi-stage fuzzy controller are optimized by using the chaos genetic algorithm for the problem of functional disability of learning.Taking Lanzhou for example,the average delay curve is given under different control methods by simulation studies and the average delay is analyzed under different traffic flows.The results show that the proposed method has good control effect.
In traffic signal control,a single control model generally cannot well adapt to the changes of real-time traffic flow.To handle this problem,a combined optimal control method of traffic signals is proposed.According to traffic flow parameters,the self-organizing feature map(SOM) neural network is applied to recognize the traffic state.Then the proper structure of the fuzzy controller is selected dynamically based on the intersection state.A multi-stage fuzzy controller with phase sequence optimization is designed for the characteristics of the non balanced road network.The lap traffic flow is adopted to maximize the capacity of signalized intersection.Parameters of the multi-stage fuzzy controller are optimized by using the chaos genetic algorithm for the problem of functional disability of learning.Taking Lanzhou for example,the average delay curve is given under different control methods by simulation studies and the average delay is analyzed under different traffic flows.The results show that the proposed method has good control effect.
引文
[1]Pappis C P,Mamdani,Ebrahim H.A Fuzzy Controller for a Traffic Junction[J].IEEE Transactions on Systems,Man and Cybernetics,1977,7(10):707-717.
[2]牟海波,俞建宁,刘林忠.基于混合Petri网的交叉口交通信号控制研究[J].控制工程,2012,19(5):771-774.Mu H B,Yu J N,Liu L,Z.Study on Traffic Signal Control of Isolated Intersection Based on Hybrid Petri Net[J].Control Engineering of China,2012,19(5):771-774.
[3]Zang L L,Zhu W X,Hu P F,et al.Study on Intelligent Control Algorithm for Traffic Signals at Multi-phase Intersections[J].Journal of Computational Information Systems,2012,8(24):10477-10484.
[4]赵文秀,曹勇,金硕,等.基于两级模糊控制的单交叉路口信号配时研究[J].辽宁工业大学学报(自然科学版),2015,35(3):148-152.Zhao W X,Cao Y,Jin S,et al.Research in Single Intersection Signal Timing Based on Two-layer Fuzzy Control[J].Journal of Liaoning University of Technology(Natural Science Edition),2015,35(3):148-152.
[5]高俊侠,李建更,陈阳舟,等.交通信号2级模糊控制系统的优化设计与仿真[J].北京工业大学学报,2009,35(1):19-24.Gao J X,Li J G,Chen Y Z,et al.Optimize Design and Simulation of Traffic Signal Two Level Fuzzy Control System[J].Journal of Beijing University of Technology,2009,35(1):19-24.
[6]Qiao J,Yang N D,Gao J.Two-stage Fuzzy Logic Controller for Signalized Intersection[J].IEEE Transactions on Systems,Man and Cybernetics Part A:Systems and Humans,2011,41(1):178-184.
[7]Talab H S,Mohammadkhani H.Design Optimization Traffic Light Timing Using the Fuzzy Logic at a Diphasic's Isolated Intersection[J].Journal of Intelligent and Fuzzy Systems,2014,27(4):1609-1620.
[8]He Q,Head K L,Ding J.Multi-modal Traffic Signal Control with Priority,Signal Actuation and Coordination[J].Transportation Research Part C:Emerging Technologies,2014,46:65-82.
[9]曾素勤,郭文强.不同交通状态下的交叉口信号控制策略[J].交通标准化,2011,39(12):149-152.Zeng S Q,Guo W Q.Intersection Signal Control Strategies Under Different Traffic States[J].Transport Standardization,2011,39(12):149-152.
[10]王宁,张利国,陈阳舟.基于信号优先和滞站调度的BRT组合控制策略[J].交通运输系统工程与信息,2011,11(3):144-150.Wang N,Zhang L G,Chen Y Z.Integrated Control Method with Signal Priority and Holding Strategy for BRT System[J].Journal of Transportation Systems Engineering and Information Technology,2011,11(3):144-150.
[11]Hou Z S,Liu Y C,Feng Q G.Design of the Glass Batching-material System Based Fuzzy-PID Combined Control[J].TelkomnikaIndonesian Journal of Electrical Engineering,2013,11(6):3321-3326.
[12]郭艳玲,吴义虎,黄中祥.基于小波分析和SOM网络的交通事件检测算法[J].系统工程,2006,24(10):100-104.Guo Y L,Wu Y H,Huang Z X.An Algorithm for Traffic Incidents Detection Based on Wavelet Analysis and SOM Network[J].Systems Engineering,2006,24(10):100-104.
[13]杨海荣,罗大庸.交叉口信号实时滚动优化模型及算法[J].控制与决策,2014,29(4):645-650.Yang H R,Luo D Y.Real-time Rolling Horizon Optimization of Intersection Signal Model[J].Control and Decision,2014,29(4):645-650.
[14]康波.一种混沌遗传算法及其在测试生成中的应用[J].系统工程与电子技术,2006,28(11):1743-1746.Kang B.Chaos Genetic Algorithm and Its Application in Test Generation[J].Systems Engineering and Electronics,2006,28(11):1743-1746.
[15]Yang M,Shi W F.Diagnosis of Ship Generator Optimized Neural Network Based on Multi-population Chaos Genetic Algorithm[J].International Journal of Hybrid Information Technology,2015,8(11):413-422.
[16]Zhu M F.A Rapid Mixed Batch Blending Method Based on Chaos Genetic Algorithm[J].Information Technology Journal,2013,12(16):3670-3673.
[17]清华大学交通研究所.兰州市综合交通规划报告[R].兰州:兰州市规划土地管理局,2003.Transportation Research Institute of Tsinghua University.Comprehensive Transport Planning Report in Lanzhou City[R].Lanzhou:The Bureau of Planning Land Management in Lanzhou city,2003.
[2]牟海波,俞建宁,刘林忠.基于混合Petri网的交叉口交通信号控制研究[J].控制工程,2012,19(5):771-774.Mu H B,Yu J N,Liu L,Z.Study on Traffic Signal Control of Isolated Intersection Based on Hybrid Petri Net[J].Control Engineering of China,2012,19(5):771-774.
[3]Zang L L,Zhu W X,Hu P F,et al.Study on Intelligent Control Algorithm for Traffic Signals at Multi-phase Intersections[J].Journal of Computational Information Systems,2012,8(24):10477-10484.
[4]赵文秀,曹勇,金硕,等.基于两级模糊控制的单交叉路口信号配时研究[J].辽宁工业大学学报(自然科学版),2015,35(3):148-152.Zhao W X,Cao Y,Jin S,et al.Research in Single Intersection Signal Timing Based on Two-layer Fuzzy Control[J].Journal of Liaoning University of Technology(Natural Science Edition),2015,35(3):148-152.
[5]高俊侠,李建更,陈阳舟,等.交通信号2级模糊控制系统的优化设计与仿真[J].北京工业大学学报,2009,35(1):19-24.Gao J X,Li J G,Chen Y Z,et al.Optimize Design and Simulation of Traffic Signal Two Level Fuzzy Control System[J].Journal of Beijing University of Technology,2009,35(1):19-24.
[6]Qiao J,Yang N D,Gao J.Two-stage Fuzzy Logic Controller for Signalized Intersection[J].IEEE Transactions on Systems,Man and Cybernetics Part A:Systems and Humans,2011,41(1):178-184.
[7]Talab H S,Mohammadkhani H.Design Optimization Traffic Light Timing Using the Fuzzy Logic at a Diphasic's Isolated Intersection[J].Journal of Intelligent and Fuzzy Systems,2014,27(4):1609-1620.
[8]He Q,Head K L,Ding J.Multi-modal Traffic Signal Control with Priority,Signal Actuation and Coordination[J].Transportation Research Part C:Emerging Technologies,2014,46:65-82.
[9]曾素勤,郭文强.不同交通状态下的交叉口信号控制策略[J].交通标准化,2011,39(12):149-152.Zeng S Q,Guo W Q.Intersection Signal Control Strategies Under Different Traffic States[J].Transport Standardization,2011,39(12):149-152.
[10]王宁,张利国,陈阳舟.基于信号优先和滞站调度的BRT组合控制策略[J].交通运输系统工程与信息,2011,11(3):144-150.Wang N,Zhang L G,Chen Y Z.Integrated Control Method with Signal Priority and Holding Strategy for BRT System[J].Journal of Transportation Systems Engineering and Information Technology,2011,11(3):144-150.
[11]Hou Z S,Liu Y C,Feng Q G.Design of the Glass Batching-material System Based Fuzzy-PID Combined Control[J].TelkomnikaIndonesian Journal of Electrical Engineering,2013,11(6):3321-3326.
[12]郭艳玲,吴义虎,黄中祥.基于小波分析和SOM网络的交通事件检测算法[J].系统工程,2006,24(10):100-104.Guo Y L,Wu Y H,Huang Z X.An Algorithm for Traffic Incidents Detection Based on Wavelet Analysis and SOM Network[J].Systems Engineering,2006,24(10):100-104.
[13]杨海荣,罗大庸.交叉口信号实时滚动优化模型及算法[J].控制与决策,2014,29(4):645-650.Yang H R,Luo D Y.Real-time Rolling Horizon Optimization of Intersection Signal Model[J].Control and Decision,2014,29(4):645-650.
[14]康波.一种混沌遗传算法及其在测试生成中的应用[J].系统工程与电子技术,2006,28(11):1743-1746.Kang B.Chaos Genetic Algorithm and Its Application in Test Generation[J].Systems Engineering and Electronics,2006,28(11):1743-1746.
[15]Yang M,Shi W F.Diagnosis of Ship Generator Optimized Neural Network Based on Multi-population Chaos Genetic Algorithm[J].International Journal of Hybrid Information Technology,2015,8(11):413-422.
[16]Zhu M F.A Rapid Mixed Batch Blending Method Based on Chaos Genetic Algorithm[J].Information Technology Journal,2013,12(16):3670-3673.
[17]清华大学交通研究所.兰州市综合交通规划报告[R].兰州:兰州市规划土地管理局,2003.Transportation Research Institute of Tsinghua University.Comprehensive Transport Planning Report in Lanzhou City[R].Lanzhou:The Bureau of Planning Land Management in Lanzhou city,2003.